Question:

The variance of first n odd natural numbers is $\frac{n^2 - 1}{3}$. The sum of first n odd natural number is $n^2$ and the sum of square of first n odd natural numbers is $\frac{ n (4n^2 + 1)}{3}$ .

Updated On: Jun 12, 2025
  • Statement 1 is true, Statement 2 is false
  • Statement 1 is true, Statement 2 is true; Statement 2 is not a correct explanation for Statement 1
  • Statement 1 is false, Statement 2 is true
  • Statement 1 is true, Statement 2 is true, Statement 2 is a correct explanation for Statement 1
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The Correct Option is A

Approach Solution - 1

The correct option is A, Statement 2: Sum of first n odd natural numbers is not equal to \(n^2\). So, statement - 2 is false.

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Approach Solution -2

1. Sum of the first \( n \) odd natural numbers:
The \( n \)th odd number is \( 2n-1 \). The sum of the first \( n \) odd numbers is:
\[ 1 + 3 + 5 + \cdots + (2n-1) \]
This sum is known to be:
\[ S_n = n^2 \]
So, the statement "Sum of the first \( n \) odd natural numbers is equal to \( n^2 \)" is true.
2. Sum of the squares of the first \( n \) odd natural numbers:
Given that:
\[ \text{Sum of squares of the first } n \text{ odd natural numbers} = \frac{n(4n^2 - 1)}{3} \]
3. Variance of the first \( n \) odd natural numbers:
Variance \( \sigma^2 \) is calculated using the formula:
\[ \sigma^2 = \frac{1}{n} \left( \sum_{i=1}^{n} x_i^2 \right) - \left( \frac{1}{n} \sum_{i=1}^{n} x_i \right)^2 \]
Here, \( x_i \) represents the \( i \)th odd number.
Given:
\[ \sum_{i=1}^{n} x_i = n^2 \]
\[ \sum_{i=1}^{n} x_i^2 = \frac{n(4n^2 - 1)}{3} \]
Now, let's compute the variance:
First, find the mean (\( \mu \)):
\[ \mu = \frac{1}{n} \sum_{i=1}^{n} x_i = \frac{n^2}{n} = n \]
Next, compute the variance:
\[ \sigma^2 = \frac{1}{n} \left( \sum_{i=1}^{n} x_i^2 \right) - \mu^2 \]
\[ \sigma^2 = \frac{1}{n} \left( \frac{n(4n^2 - 1)}{3} \right) - n^2 \]
\[ \sigma^2 = \frac{4n^2 - 1}{3} - n^2 \]
\[ \sigma^2 = \frac{4n^2 - 1}{3} - \frac{3n^2}{3} \]
\[ \sigma^2 = \frac{4n^2 - 1 - 3n^2}{3} \]
\[ \sigma^2 = \frac{n^2 - 1}{3} \]
This matches the given variance formula \( \frac{n^2 - 1}{3} \).
4. Verification of the statements:
- Statement 1: The sum of the first \( n \) odd natural numbers is \( n^2 \). (This is true)
- Statement 2: The sum of the first \( n \) odd natural numbers is not equal to \( n^2 \). (This is false)
Therefore, the correct option is that Statement 2 is false, and we have verified the variance formula as well.
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Concepts Used:

Variance and Standard Deviation

Variance:

According to layman’s words, the variance is a measure of how far a set of data are dispersed out from their mean or average value. It is denoted as ‘σ2’.

Variance Formula:

Read More: Difference Between Variance and Standard Deviation

Standard Deviation:

The spread of statistical data is measured by the standard deviation. Distribution measures the deviation of data from its mean or average position. The degree of dispersion is computed by the method of estimating the deviation of data points. It is denoted by the symbol, ‘σ’.

Types of Standard Deviation:

  • Standard Deviation for Discrete Frequency distribution
  • Standard Deviation for Continuous Frequency distribution

Standard Deviation Formulas:

1. Population Standard Deviation

2. Sample Standard Deviation